186 citations · 592 across the 23 of their papers we have counts for
5 papers · 1 filter
Code Generation Tools (Almost) for Free? A Study of Few-Shot, Pre-Trained Language Models on Code
Patrick Bareiß, Beatriz Souza, Marcelo d'Amorim +1
Few-shot learning with large-scale, pre-trained language models is a powerful way to answer questions about code, e.g., how to complete a given code example, or even generate code…
MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform
Matteo Paltenghi, Michael Pradel
As quantum computing is becoming increasingly popular, the underlying quantum computing platforms are growing both in ability and complexity. Unfortunately, testing these platforms…
DiffSearch: A Scalable and Precise Search Engine for Code Changes
Luca Di Grazia, Paul Bredl, Michael Pradel
The source code of successful projects is evolving all the time, resulting in hundreds of thousands of code changes stored in source code repositories. This wealth of data can be u…
Code Search: A Survey of Techniques for Finding Code
Luca Di Grazia, Michael Pradel
The immense amounts of source code provide ample challenges and opportunities during software development. To handle the size of code bases, developers commonly search for code, e.…
Meta Learning for Code Summarization
Moiz Rauf, Sebastian Padó, Michael Pradel
Source code summarization is the task of generating a high-level natural language description for a segment of programming language code. Current neural models for the task differ…